pip install ipyvuetify ipygoldenlayout

import ipyvuetify as v
import traitlets
from ipygoldenlayout import GoldenLayout
import ipywidgets

import numpy as np
import bqplot.pyplot as plt

size = 100
scale = 100.0
np.random.seed(0)
x_data = np.arange(size)
y_data = np.cumsum(np.random.randn(size) * scale)

GoldenLayout()

def make_plot(name):
    fig = plt.figure(title=name)
    plt.plot(y_data)
    fig.layout.min_height = '100%'
    fig.layout.height = '100%'
    fig.layout.max_height = '100%'
    return fig

figs = [make_plot(f"plot{i}") for i in range(3)]

class MultiPlot(v.VuetifyTemplate):
    
    plot1 = traitlets.Any().tag(sync=True, **ipywidgets.widget_serialization)
    plot2 = traitlets.Any().tag(sync=True, **ipywidgets.widget_serialization)
    plot3 = traitlets.Any().tag(sync=True, **ipywidgets.widget_serialization)

    @traitlets.default("template")
    def _template(self):
        return """
        <template>
            <div >
                <golden-layout style="height: 400px">
                  <gl-row>
                    <gl-component title="component1">
                      <jupyter-widget :widget="plot1"></jupyter-widget>
                    </gl-component>
                    <gl-stack>
                      <gl-component title="component2">
                        <jupyter-widget :widget="plot2"></jupyter-widget>
                      </gl-component>
                      <gl-component title="component3" >
                        <jupyter-widget :widget="plot3"></jupyter-widget>  
                      </gl-component>
                    </gl-stack>
                  </gl-row>
                </golden-layout>
            </div>
        </template>
        """
    
MultiPlot(plot1=figs[0], plot2=figs[1], plot3=figs[2])